Nathan Breit

16 papers receiving 877 citations

Hit Papers

Global hotspots and correlates of emerging zoonotic diseases20172026202020232017200400600

Peers

Nathan Breit
Comparison fields: 5 of 115
  • Public Health, Environmental and Occupational Health 477
  • Infectious Diseases 404
  • Agronomy and Crop Science 204
  • Modeling and Simulation 130
  • Information Systems 79
Replace Liam Brierley with:
Liam Brierley United Kingdom
Nita Bharti United States
Victoria Ng Canada
Sara Y. Del Valle United States
Joanne Turner United Kingdom
Weizhong Yang China
Dennis Carroll United States
Rory Gibb United Kingdom
Casey M. Zipfel United States
José L. Gonzáles Netherlands
Nathan Breit relative to Liam Brierley United Kingdom Liam Brierley's profile →
Citations per field
00.5×1.5×1.9×
Liam Brierley · 1×
Citations per year

Countries citing papers authored by Nathan Breit

Since Specialization
Citations

This map shows the geographic impact of Nathan Breit's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Nathan Breit with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nathan Breit more than expected).

Fields of papers citing papers by Nathan Breit

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nathan Breit. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Nathan Breit. The network helps show where Nathan Breit may publish in the future.

Co-authorship network of co-authors of Nathan Breit

This figure shows the co-authorship network connecting the top 25 collaborators of Nathan Breit. A scholar is included among the top collaborators of Nathan Breit based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Nathan Breit. Nathan Breit is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
#WorkIndexed citations
1 2
2 2
3 2
4 5
5 36
6 1
7 1
8
Global hotspots and correlates of emerging zoonotic diseasesbreakdown →
670
9 8
10 14
11 1
12 1
13
Improving form-based data entry with image snippets
6
14 111
15 19
16 25

About Nathan Breit

Nathan Breit is a scholar working on Modeling and Simulation, Business and International Management and Infectious Diseases, having authored 16 papers that have together received 904 indexed citations. Recurring topics across this work include ICT in Developing Communities (4 papers), SARS-CoV-2 and COVID-19 Research (3 papers) and COVID-19 epidemiological studies (3 papers). The work is most often cited by research in Modeling and Simulation (130 citations), Infectious Diseases (404 citations) and Agronomy and Crop Science (204 citations). Nathan Breit has collaborated with scholars based in United States, Australia and Italy. Frequent co-authors include Toph Allen, Moreno Di Marco, Kris A. Murray, Kevin J. Olival, Carlos Zambrana‐Torrelio, Stephen S. Morse, Carlo Rondinini, Peter Daszak, Nicola Dell and Gaetano Borriello. Their work appears in journals such as Nature Communications, Scientific Reports and International Journal of Infectious Diseases.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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